Estimating the Bariatric Surgery Rate in the Potentially Eligible Population within the Brazilian Public Healthcare System, 2017–2023 - Report - MDSpire

Estimating the Bariatric Surgery Rate in the Potentially Eligible Population within the Brazilian Public Healthcare System, 2017–2023

  • By

  • Luis Roberto da Silva

  • Claudio Makoto Kanai

  • Anna Carolina Batista Dantas

  • Wayner Vieira de Souza

  • Denis Pajecki

  • Beatriz Helena Tess

  • May 13, 2026

  • 0 min

Share

Clinical Report: Assessing the Rate of Bariatric Surgery in Brazil's SUS

Overview

{'add': 'Specify the percentage of eligible individuals who received surgery.'}

Background

{'add': 'Include statistics on comorbidities associated with severe obesity.'}

Data Highlights

{'format': 'Use bullet points for clarity.'}

Key Findings

{'add': 'Context on implications of long waiting lists.'}

Clinical Implications

{'add': 'Specific policy change suggestions.'}

Conclusion

{'add': 'Recommendations for stakeholders.'}

Related Resources & Content

  1. International Federation for the Surgery of Obesity and Metabolic Disorders, 2023 -- Assessing the Rate of Bariatric Surgery Among Eligible Individuals in Brazil's Public Healthcare System
  2. Obesity Surgery, 2016 -- Assessing the Safety and Efficacy of Bariatric Surgery within Brazil's Public Health System
  3. Obesity Surgery, 2022 -- Future Trends in Obesity and Bariatric Surgery Demand and Costs in Australia
  4. Obesity Surgery, 2025 -- Trends in Bariatric Surgery Access Across Australia
  5. Obesity Surgery — Correction to: An Analysis of Eligibility and Recipients of Bariatric Surgery in England: A Secondary Review of the Health Survey for England Data
  6. ASMBS/IFSO Guidelines 2022
  7. Long-Term Outcomes of Medical Management vs Bariatric Surgery in Type 2 Diabetes
  8. https://www.ifso.com/pdf/9th-ifso-global-registry-report-2024.pdf

Original Source(s)

Estimating the Bariatric Surgery Rate in the Potentially Eligible Population within the Brazilian Public Healthcare System, 2017–2023

  • by Luis Roberto da Silva, Claudio Makoto Kanai, Anna Carolina Batista Dantas, Wayner Vieira de Souza, Denis Pajecki, Beatriz Helena Tess

  • May 13, 2026

Related Content

The Future of Obesity Care: Exploring Synergies Between Metabolic Bariatric Surgery, Interventional Endoscopy and Pharmacotherapy

A temporally Anchored Retrieval-Augmented Generation Framework for Metabolic and Bariatric Surgery Patient Education: An IFSO Artificial Intelligence Task Force Multinational Validation Study

Correction: Machine Learning Prediction Models for Weight Loss Outcomes after Metabolic and Bariatric Surgery: a Systematic Review and Meta-Analysis